How do you implement agentic AI for automated capacity planning?
Capacity planning agents predict future resource requirements based on growth trends, seasonal patterns, and planned feature launches. Configure agents with access to resource utilization metrics, growth forecasts, and infrastructure cost data. Implement demand modeling that projects CPU, memory, storage, and network requirements over different time horizons. The agent generates capacity recommendations with cost estimates for different scaling strategies including vertical scaling, horizontal scaling, and architectural changes. Support what-if analysis for different growth scenarios. Implement early warning alerts when capacity approaches thresholds. Track forecast accuracy against actual utilization to refine prediction models. Generate capacity reports for budget planning and procurement cycles.